Vehicle neural network
AssigneeFord Global Technologies, LLC
InventorsFRANCOIS CHARETTE, JOSE ENRIQUE SOLOMON
Life of this patent
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Abstract
A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a first color image of a road environment, determine one or more value decompositions of one or more of the red, green, and blue channels of the first color image, obtain one or more modified singular value decompositions by modifying respective ones of the singular value decompositions by a non-linear equation and reconstruct a second color image based on the modified one or more singular value decompositions. The instructions can include further instructions to train a deep neural network based on the second color image and operate a vehicle based on the deep neural network.
Claims20
A computer, comprising a processor;
- and
- a memory, the memory including instructions to be executed by the processor to:
- generate a first color image of a road environment;
- determine one or more singular value decompositions of one or more of a red, green, and blue channel of the first color image;
- obtain one or more modified singular value decompositions by modifying respective ones of the singular value decompositions by a non-linear equation;
- reconstruct a second color image based on the modified one or more singular value decompositions;
- train a deep neural network based on the second color image;
- and
- operate a vehicle based on the deep neural network.
A method, comprising:
- generating a first color image of a road environment;
- determining one or more singular value decompositions of one or more of a red, green, and blue channel of the first color image;
- obtaining one or more of modified singular value decompositions by modifying respective ones of the singular value decompositions by a non-linear equation;
- reconstructing a second color image based on the modified one or more singular value decompositions;
- training a deep neural network based on the second color image;
- and
- operating a vehicle based on the deep neural network.
Dependencies are inferred from the claim text.